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Evaluation of Control Performance of Multi-stage Fuzzy Reasoning in Anti-lock Braking System for Railways Using Fuzzy Reasoning

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Modeling Decisions for Artificial Intelligence (MDAI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3558))

Abstract

Anti-lock braking system (ABS) for railways is mentioned as one of the way of reducing the risk for railways. Recently, ABS for railways is put in practical use, for example, ABS using multi-stage fuzzy reasoning. In this paper, we propose the new types of ABS using one-stage fuzzy reasoning, and compare the control performances of the proposed ABSs with the present ABS in respect of braking distance, wheel damages, and the frequency of action of valves through the numerical simulations. Moreover, we show the effect for the prevention of hunting.

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References

  1. Nonaka, T., Endo, Y., Yoshikawa, H.: Improvement of Control Performance of Anti- Lock Braking System with Fuzzy Reasoning for Rolling Stock. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 16(5), 431–440 (2004)

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  2. Mizumoto, M.: Fuzzy Reasoning (2). Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 4(3), 35–46 (1992)

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  3. Nonaka, T., Ohyama, T., Endo, Y., Yoshikawa, H.: Anti-Lock Braking System for Train Sets on Railways (1st Report, Formation of Dynamics Model and Methods of Evaluation for Controls). Transactions of the Japan Society of Mechanical Engineers, C (to be published)

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Author information

Authors and Affiliations

  1. Graduate School of Systems and Information Engineering, University of Tsukuba, Ibaraki, 305-8573, Japan

    Tetsuya Asanome

  2. Odakyu Electric Railway Corporation, Tokyo, 160-8309, Japan

    Toshiaki Nonaka

  3. Faculty of Systems and Information Engineering, University of Tsukuba, Ibaraki, 305-8573, Japan

    Yasunori Endo

  4. Railway Technical Research Institute, Tokyo, 185-8540, Japan

    Shin-ichi Nakazawa

  5. Mitsubishi Electric Corporation, Hyogo, 661-8661, Japan

    Hiroshi Yoshikawa

Authors
  1. Tetsuya Asanome
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  2. Toshiaki Nonaka
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  3. Yasunori Endo
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  4. Shin-ichi Nakazawa
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  5. Hiroshi Yoshikawa
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Editor information

Editors and Affiliations

  1. IIIA, Artificial Intelligence Research Institute CSIC, Spanish National Research Council, Campus UAB s/n, 08193, Bellaterra, Catalonia, Spain

    Vicenç Torra

  2. Toho Gakuen, 3-1-10 Naka, Kunitachi, 186-0004, Tokyo, Japan

    Yasuo Narukawa

  3. Department of Risk Engineering, School of Systems and Information Engineering, University of Tsukuba, 305-8573, Ibaraki, Japan

    Sadaaki Miyamoto

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© 2005 Springer-Verlag Berlin Heidelberg

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Asanome, T., Nonaka, T., Endo, Y., Nakazawa, Si., Yoshikawa, H. (2005). Evaluation of Control Performance of Multi-stage Fuzzy Reasoning in Anti-lock Braking System for Railways Using Fuzzy Reasoning. In: Torra, V., Narukawa, Y., Miyamoto, S. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2005. Lecture Notes in Computer Science(), vol 3558. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11526018_12

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  • DOI: https://doi.org/10.1007/11526018_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27871-9

  • Online ISBN: 978-3-540-31883-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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